SlideShare a Scribd company logo
1 of 15
Travel & Leisure Platform Dept.
2
RBN
Rakuten Private Cloud Public Cloud
Hardware Provisioning / Management layer
Network Overlay
Storage
Hadoop Bare metal
IaaS
Self Service Portal/APIs Self Service Portal/APIs
OS layer (Kernel tuning)
Data backup & Recovery
Platform management (Exadata, Teradata, Proxy …etc)
Service A Service B Service C Service X
DB schema review, SQL tuning support
VM
Container
Log Storage, Monitoring & Alerting
Web / AP server provisioning
Database provisioning (RDBMS/NoSQL) Toil abolishment & Automation
Travel & Leisure Platform Dept(TLPD)
3
RBN
Rakuten Private Cloud Public Cloud
Hardware Provisioning / Management layer
Network Overlay
Storage
Hadoop Bare metal
IaaS
Self Service Portal/APIs Self Service Portal/APIs
OS layer (Kernel tuning)
Data backup & Recovery
Platform management (Exadata, Teradata, Proxy …etc)
Service A Service B Service C Service X
DB schema review, SQL tuning support
VM
Container
Log Storage, Monitoring & Alerting
Web / AP server provisioning
Database provisioning (RDBMS/NoSQL) Toil abolishment & Automation
DBA DevOps
Travel & Leisure Platform Dept(TLPD)
4
Recent Project
Business Continuity Plan (BCP)
• Multi DC, Multi Cloud
Container-nization
• VM -> K8S
Alert integration
• Manage all alerts by 1 platform
Automation
• Server management, regular work
Life Cycle Management (LCM)
• NAS replace, Oracle DB version upgrade
5
What is Benefit
✓ 機械工学出身だがメーカーと比べると働き方が自由
(フレックスやリモートワークなど)
✓ 部署では色々な技術が使えるのが楽しい。(選定もできる
のが楽しい)
✓ Most of the people want to improve skill / learning.
✓ Trying to very hard push forward.
✓ Not much restriction.
✓ Free Breakfast, Lunch, Dinner !!
21' New grads
20' Joined mid-career
6
Regarding DBA position
7
✓ RDB
✓ NoSQL
✓ KVS
✓ HDFS
Cloud (Public / Private)
Bare Metal / Appliance
To provide best data platform and management as advanced DBA
for Travel & Leisure services
BCP
8
Data Management Group
◆ Long term resource management.
◆ Scale out/up based on load prediction.
◆ Monitoring and Troubleshooting.
◆ Performance tuning.
◆ Version upgrade / Migration.
◆ Backup & Recovery
◆ Provide guidelines for using each DB products.
◆ Making Contingency Plan (BCP).
◆ Verification and evaluation of new architecture.
Role
Responsibility
✓ RDB (Oracle, Exadata, GoldenGate, Timesten, MySQL, ZFS, )
✓ NoSQL (MongoDB, Elasticsearch, Redis)
9
Regarding DevOps position
10
What we do – 1. Infrastructure as Code
Infra Management Config Management Continuous Integration
Terraform Jenkins
Chef & Ansible
11
What we do – 2. Provide platform to Dev and QA
System Monitoring Log Analysis
Support Tool
12
Platform Reliability Group
Role
Responsibility
✓Infrastructure management
✓Platform / Tool / Environment management
◆Long term resource management.
◆Scale out/up based on load prediction.
◆Troubleshooting.
◆Infrastructure consultation.
◆Monitoring / Proxy / Log analysis.
◆Tool management for Developer & QA
◆Provide Server resource.
◆System Log management.
◆Verification and evaluation of new architecture.
13
Person we would like to work with
❖ Always motivated to improve existing process.
❖ Actively communicate with colleagues.
❖ Positive attitude for work.
❖ Quick and positive learner.
Nationality of the engineers : Around 8 countries
Average age : Around 30 years old
Travel & Leisure Platform Department's tech info

More Related Content

What's hot

Rakuten Services and Infrastructure Team.pdf
Rakuten Services and Infrastructure Team.pdfRakuten Services and Infrastructure Team.pdf
Rakuten Services and Infrastructure Team.pdfRakuten Group, Inc.
 
Kubernetes専用データ保護に新たな潮流、Zerto?Kasten?の最新手法とは
Kubernetes専用データ保護に新たな潮流、Zerto?Kasten?の最新手法とはKubernetes専用データ保護に新たな潮流、Zerto?Kasten?の最新手法とは
Kubernetes専用データ保護に新たな潮流、Zerto?Kasten?の最新手法とは株式会社クライム
 
HDFSのスケーラビリティの限界を突破するためのさまざまな取り組み | Hadoop / Spark Conference Japan 2019 #hc...
HDFSのスケーラビリティの限界を突破するためのさまざまな取り組み | Hadoop / Spark Conference Japan 2019  #hc...HDFSのスケーラビリティの限界を突破するためのさまざまな取り組み | Hadoop / Spark Conference Japan 2019  #hc...
HDFSのスケーラビリティの限界を突破するためのさまざまな取り組み | Hadoop / Spark Conference Japan 2019 #hc...Yahoo!デベロッパーネットワーク
 
Amazon Elastic MapReduce with Hive/Presto ハンズオン(講義)
Amazon Elastic MapReduce with Hive/Presto ハンズオン(講義)Amazon Elastic MapReduce with Hive/Presto ハンズオン(講義)
Amazon Elastic MapReduce with Hive/Presto ハンズオン(講義)Amazon Web Services Japan
 
モニタリングプラットフォーム開発の裏側
モニタリングプラットフォーム開発の裏側モニタリングプラットフォーム開発の裏側
モニタリングプラットフォーム開発の裏側Rakuten Group, Inc.
 
Introduction of Rakuten Commerce QA Night#2
Introduction of Rakuten Commerce QA Night#2Introduction of Rakuten Commerce QA Night#2
Introduction of Rakuten Commerce QA Night#2Rakuten Group, Inc.
 
Apache Kafkaって本当に大丈夫?~故障検証のオーバービューと興味深い挙動の紹介~
Apache Kafkaって本当に大丈夫?~故障検証のオーバービューと興味深い挙動の紹介~Apache Kafkaって本当に大丈夫?~故障検証のオーバービューと興味深い挙動の紹介~
Apache Kafkaって本当に大丈夫?~故障検証のオーバービューと興味深い挙動の紹介~NTT DATA OSS Professional Services
 
[Rakuten TechConf2014] [B-6] Rakuten Travel Architecture and Development Process
[Rakuten TechConf2014] [B-6] Rakuten Travel Architecture and Development Process[Rakuten TechConf2014] [B-6] Rakuten Travel Architecture and Development Process
[Rakuten TechConf2014] [B-6] Rakuten Travel Architecture and Development ProcessRakuten Group, Inc.
 
Grafana Dashboards as Code
Grafana Dashboards as CodeGrafana Dashboards as Code
Grafana Dashboards as CodeTakuhiro Yoshida
 
Presto on YARNの導入・運用
Presto on YARNの導入・運用Presto on YARNの導入・運用
Presto on YARNの導入・運用cyberagent
 
OSS+AWSでここまでできるDevSecOps (Security-JAWS第24回)
OSS+AWSでここまでできるDevSecOps (Security-JAWS第24回)OSS+AWSでここまでできるDevSecOps (Security-JAWS第24回)
OSS+AWSでここまでできるDevSecOps (Security-JAWS第24回)Masaya Tahara
 
Red Hat OpenShift Container Storage
Red Hat OpenShift Container StorageRed Hat OpenShift Container Storage
Red Hat OpenShift Container StorageTakuya Utsunomiya
 
ポスト・ラムダアーキテクチャの切り札? Apache Hudi(NTTデータ テクノロジーカンファレンス 2020 発表資料)
ポスト・ラムダアーキテクチャの切り札? Apache Hudi(NTTデータ テクノロジーカンファレンス 2020 発表資料)ポスト・ラムダアーキテクチャの切り札? Apache Hudi(NTTデータ テクノロジーカンファレンス 2020 発表資料)
ポスト・ラムダアーキテクチャの切り札? Apache Hudi(NTTデータ テクノロジーカンファレンス 2020 発表資料)NTT DATA Technology & Innovation
 
PostgreSQLモニタリング機能の現状とこれから(Open Developers Conference 2020 Online 発表資料)
PostgreSQLモニタリング機能の現状とこれから(Open Developers Conference 2020 Online 発表資料)PostgreSQLモニタリング機能の現状とこれから(Open Developers Conference 2020 Online 発表資料)
PostgreSQLモニタリング機能の現状とこれから(Open Developers Conference 2020 Online 発表資料)NTT DATA Technology & Innovation
 
Apache Spark on Kubernetes入門(Open Source Conference 2021 Online Hiroshima 発表資料)
Apache Spark on Kubernetes入門(Open Source Conference 2021 Online Hiroshima 発表資料)Apache Spark on Kubernetes入門(Open Source Conference 2021 Online Hiroshima 発表資料)
Apache Spark on Kubernetes入門(Open Source Conference 2021 Online Hiroshima 発表資料)NTT DATA Technology & Innovation
 
大規模データ活用向けストレージレイヤソフトのこれまでとこれから(NTTデータ テクノロジーカンファレンス 2019 講演資料、2019/09/05)
大規模データ活用向けストレージレイヤソフトのこれまでとこれから(NTTデータ テクノロジーカンファレンス 2019 講演資料、2019/09/05)大規模データ活用向けストレージレイヤソフトのこれまでとこれから(NTTデータ テクノロジーカンファレンス 2019 講演資料、2019/09/05)
大規模データ活用向けストレージレイヤソフトのこれまでとこれから(NTTデータ テクノロジーカンファレンス 2019 講演資料、2019/09/05)NTT DATA Technology & Innovation
 
Scaling your Data Pipelines with Apache Spark on Kubernetes
Scaling your Data Pipelines with Apache Spark on KubernetesScaling your Data Pipelines with Apache Spark on Kubernetes
Scaling your Data Pipelines with Apache Spark on KubernetesDatabricks
 

What's hot (20)

Rakuten's Private Cloud
Rakuten's Private CloudRakuten's Private Cloud
Rakuten's Private Cloud
 
Rakuten Services and Infrastructure Team.pdf
Rakuten Services and Infrastructure Team.pdfRakuten Services and Infrastructure Team.pdf
Rakuten Services and Infrastructure Team.pdf
 
Kubernetes専用データ保護に新たな潮流、Zerto?Kasten?の最新手法とは
Kubernetes専用データ保護に新たな潮流、Zerto?Kasten?の最新手法とはKubernetes専用データ保護に新たな潮流、Zerto?Kasten?の最新手法とは
Kubernetes専用データ保護に新たな潮流、Zerto?Kasten?の最新手法とは
 
HDFSのスケーラビリティの限界を突破するためのさまざまな取り組み | Hadoop / Spark Conference Japan 2019 #hc...
HDFSのスケーラビリティの限界を突破するためのさまざまな取り組み | Hadoop / Spark Conference Japan 2019  #hc...HDFSのスケーラビリティの限界を突破するためのさまざまな取り組み | Hadoop / Spark Conference Japan 2019  #hc...
HDFSのスケーラビリティの限界を突破するためのさまざまな取り組み | Hadoop / Spark Conference Japan 2019 #hc...
 
Service Connector Hub ご紹介
Service Connector Hub ご紹介Service Connector Hub ご紹介
Service Connector Hub ご紹介
 
Amazon Elastic MapReduce with Hive/Presto ハンズオン(講義)
Amazon Elastic MapReduce with Hive/Presto ハンズオン(講義)Amazon Elastic MapReduce with Hive/Presto ハンズオン(講義)
Amazon Elastic MapReduce with Hive/Presto ハンズオン(講義)
 
モニタリングプラットフォーム開発の裏側
モニタリングプラットフォーム開発の裏側モニタリングプラットフォーム開発の裏側
モニタリングプラットフォーム開発の裏側
 
Introduction of Rakuten Commerce QA Night#2
Introduction of Rakuten Commerce QA Night#2Introduction of Rakuten Commerce QA Night#2
Introduction of Rakuten Commerce QA Night#2
 
Apache Kafkaって本当に大丈夫?~故障検証のオーバービューと興味深い挙動の紹介~
Apache Kafkaって本当に大丈夫?~故障検証のオーバービューと興味深い挙動の紹介~Apache Kafkaって本当に大丈夫?~故障検証のオーバービューと興味深い挙動の紹介~
Apache Kafkaって本当に大丈夫?~故障検証のオーバービューと興味深い挙動の紹介~
 
Observability
ObservabilityObservability
Observability
 
[Rakuten TechConf2014] [B-6] Rakuten Travel Architecture and Development Process
[Rakuten TechConf2014] [B-6] Rakuten Travel Architecture and Development Process[Rakuten TechConf2014] [B-6] Rakuten Travel Architecture and Development Process
[Rakuten TechConf2014] [B-6] Rakuten Travel Architecture and Development Process
 
Grafana Dashboards as Code
Grafana Dashboards as CodeGrafana Dashboards as Code
Grafana Dashboards as Code
 
Presto on YARNの導入・運用
Presto on YARNの導入・運用Presto on YARNの導入・運用
Presto on YARNの導入・運用
 
OSS+AWSでここまでできるDevSecOps (Security-JAWS第24回)
OSS+AWSでここまでできるDevSecOps (Security-JAWS第24回)OSS+AWSでここまでできるDevSecOps (Security-JAWS第24回)
OSS+AWSでここまでできるDevSecOps (Security-JAWS第24回)
 
Red Hat OpenShift Container Storage
Red Hat OpenShift Container StorageRed Hat OpenShift Container Storage
Red Hat OpenShift Container Storage
 
ポスト・ラムダアーキテクチャの切り札? Apache Hudi(NTTデータ テクノロジーカンファレンス 2020 発表資料)
ポスト・ラムダアーキテクチャの切り札? Apache Hudi(NTTデータ テクノロジーカンファレンス 2020 発表資料)ポスト・ラムダアーキテクチャの切り札? Apache Hudi(NTTデータ テクノロジーカンファレンス 2020 発表資料)
ポスト・ラムダアーキテクチャの切り札? Apache Hudi(NTTデータ テクノロジーカンファレンス 2020 発表資料)
 
PostgreSQLモニタリング機能の現状とこれから(Open Developers Conference 2020 Online 発表資料)
PostgreSQLモニタリング機能の現状とこれから(Open Developers Conference 2020 Online 発表資料)PostgreSQLモニタリング機能の現状とこれから(Open Developers Conference 2020 Online 発表資料)
PostgreSQLモニタリング機能の現状とこれから(Open Developers Conference 2020 Online 発表資料)
 
Apache Spark on Kubernetes入門(Open Source Conference 2021 Online Hiroshima 発表資料)
Apache Spark on Kubernetes入門(Open Source Conference 2021 Online Hiroshima 発表資料)Apache Spark on Kubernetes入門(Open Source Conference 2021 Online Hiroshima 発表資料)
Apache Spark on Kubernetes入門(Open Source Conference 2021 Online Hiroshima 発表資料)
 
大規模データ活用向けストレージレイヤソフトのこれまでとこれから(NTTデータ テクノロジーカンファレンス 2019 講演資料、2019/09/05)
大規模データ活用向けストレージレイヤソフトのこれまでとこれから(NTTデータ テクノロジーカンファレンス 2019 講演資料、2019/09/05)大規模データ活用向けストレージレイヤソフトのこれまでとこれから(NTTデータ テクノロジーカンファレンス 2019 講演資料、2019/09/05)
大規模データ活用向けストレージレイヤソフトのこれまでとこれから(NTTデータ テクノロジーカンファレンス 2019 講演資料、2019/09/05)
 
Scaling your Data Pipelines with Apache Spark on Kubernetes
Scaling your Data Pipelines with Apache Spark on KubernetesScaling your Data Pipelines with Apache Spark on Kubernetes
Scaling your Data Pipelines with Apache Spark on Kubernetes
 

Similar to Travel & Leisure Platform Department's tech info

5 Steps for Migrating Relational Databases to Next-Gen Architectures
5 Steps for Migrating Relational Databases to Next-Gen Architectures5 Steps for Migrating Relational Databases to Next-Gen Architectures
5 Steps for Migrating Relational Databases to Next-Gen ArchitecturesNuoDB
 
PostgreSQL 10; Long Awaited Enterprise Solutions
PostgreSQL 10; Long Awaited Enterprise SolutionsPostgreSQL 10; Long Awaited Enterprise Solutions
PostgreSQL 10; Long Awaited Enterprise SolutionsJulyanto SUTANDANG
 
【旧版】Oracle Database Cloud Service:サービス概要のご紹介 [2020年1月版]
【旧版】Oracle Database Cloud Service:サービス概要のご紹介 [2020年1月版]【旧版】Oracle Database Cloud Service:サービス概要のご紹介 [2020年1月版]
【旧版】Oracle Database Cloud Service:サービス概要のご紹介 [2020年1月版]オラクルエンジニア通信
 
Building Analytic Apps for SaaS: “Analytics as a Service”
Building Analytic Apps for SaaS: “Analytics as a Service”Building Analytic Apps for SaaS: “Analytics as a Service”
Building Analytic Apps for SaaS: “Analytics as a Service”Amazon Web Services
 
Ai tour 2019 Mejores Practicas en Entornos de Produccion Big Data Open Source...
Ai tour 2019 Mejores Practicas en Entornos de Produccion Big Data Open Source...Ai tour 2019 Mejores Practicas en Entornos de Produccion Big Data Open Source...
Ai tour 2019 Mejores Practicas en Entornos de Produccion Big Data Open Source...nnakasone
 
Overview of Oracle Product Portfolio (focus on Platform) - April, 2017
Overview of Oracle Product Portfolio (focus on Platform) - April, 2017Overview of Oracle Product Portfolio (focus on Platform) - April, 2017
Overview of Oracle Product Portfolio (focus on Platform) - April, 2017Lucas Jellema
 
Experience sql server on l inux and docker
Experience sql server on l inux and dockerExperience sql server on l inux and docker
Experience sql server on l inux and dockerBob Ward
 
Druid: Under the Covers (Virtual Meetup)
Druid: Under the Covers (Virtual Meetup)Druid: Under the Covers (Virtual Meetup)
Druid: Under the Covers (Virtual Meetup)Imply
 
Serverless Data Platform
Serverless Data PlatformServerless Data Platform
Serverless Data PlatformShu-Jeng Hsieh
 
Cloud State of the Union for Java Developers
Cloud State of the Union for Java DevelopersCloud State of the Union for Java Developers
Cloud State of the Union for Java DevelopersBurr Sutter
 
【旧版】Oracle Autonomous Database:サービス概要のご紹介 [2020年8月版]
【旧版】Oracle Autonomous Database:サービス概要のご紹介 [2020年8月版]【旧版】Oracle Autonomous Database:サービス概要のご紹介 [2020年8月版]
【旧版】Oracle Autonomous Database:サービス概要のご紹介 [2020年8月版]オラクルエンジニア通信
 
Solutions for bi-directional integration between Oracle RDBMS & Apache Kafka
Solutions for bi-directional integration between Oracle RDBMS & Apache KafkaSolutions for bi-directional integration between Oracle RDBMS & Apache Kafka
Solutions for bi-directional integration between Oracle RDBMS & Apache KafkaGuido Schmutz
 
Engineering practices in big data storage and processing
Engineering practices in big data storage and processingEngineering practices in big data storage and processing
Engineering practices in big data storage and processingSchubert Zhang
 
What is Trove, the Database as a Service on OpenStack?
What is Trove, the Database as a Service on OpenStack?What is Trove, the Database as a Service on OpenStack?
What is Trove, the Database as a Service on OpenStack?OpenStack_Online
 
OpenStack Online Meetup
OpenStack Online MeetupOpenStack Online Meetup
OpenStack Online MeetupTesora
 
Avi Jain - Resume Descriptive 2015
Avi Jain - Resume Descriptive 2015Avi Jain - Resume Descriptive 2015
Avi Jain - Resume Descriptive 2015AVI JAIN
 
Avi Jain - Resume Descriptive 2015
Avi Jain - Resume Descriptive 2015Avi Jain - Resume Descriptive 2015
Avi Jain - Resume Descriptive 2015AVI JAIN
 
Brk2051 sql server on linux and docker
Brk2051 sql server on linux and dockerBrk2051 sql server on linux and docker
Brk2051 sql server on linux and dockerBob Ward
 

Similar to Travel & Leisure Platform Department's tech info (20)

5 Steps for Migrating Relational Databases to Next-Gen Architectures
5 Steps for Migrating Relational Databases to Next-Gen Architectures5 Steps for Migrating Relational Databases to Next-Gen Architectures
5 Steps for Migrating Relational Databases to Next-Gen Architectures
 
PostgreSQL 10; Long Awaited Enterprise Solutions
PostgreSQL 10; Long Awaited Enterprise SolutionsPostgreSQL 10; Long Awaited Enterprise Solutions
PostgreSQL 10; Long Awaited Enterprise Solutions
 
【旧版】Oracle Database Cloud Service:サービス概要のご紹介 [2020年1月版]
【旧版】Oracle Database Cloud Service:サービス概要のご紹介 [2020年1月版]【旧版】Oracle Database Cloud Service:サービス概要のご紹介 [2020年1月版]
【旧版】Oracle Database Cloud Service:サービス概要のご紹介 [2020年1月版]
 
LALIT-TCS
LALIT-TCSLALIT-TCS
LALIT-TCS
 
Building Analytic Apps for SaaS: “Analytics as a Service”
Building Analytic Apps for SaaS: “Analytics as a Service”Building Analytic Apps for SaaS: “Analytics as a Service”
Building Analytic Apps for SaaS: “Analytics as a Service”
 
Ai tour 2019 Mejores Practicas en Entornos de Produccion Big Data Open Source...
Ai tour 2019 Mejores Practicas en Entornos de Produccion Big Data Open Source...Ai tour 2019 Mejores Practicas en Entornos de Produccion Big Data Open Source...
Ai tour 2019 Mejores Practicas en Entornos de Produccion Big Data Open Source...
 
Overview of Oracle Product Portfolio (focus on Platform) - April, 2017
Overview of Oracle Product Portfolio (focus on Platform) - April, 2017Overview of Oracle Product Portfolio (focus on Platform) - April, 2017
Overview of Oracle Product Portfolio (focus on Platform) - April, 2017
 
Experience sql server on l inux and docker
Experience sql server on l inux and dockerExperience sql server on l inux and docker
Experience sql server on l inux and docker
 
Druid: Under the Covers (Virtual Meetup)
Druid: Under the Covers (Virtual Meetup)Druid: Under the Covers (Virtual Meetup)
Druid: Under the Covers (Virtual Meetup)
 
Serverless Data Platform
Serverless Data PlatformServerless Data Platform
Serverless Data Platform
 
Cloud State of the Union for Java Developers
Cloud State of the Union for Java DevelopersCloud State of the Union for Java Developers
Cloud State of the Union for Java Developers
 
【旧版】Oracle Autonomous Database:サービス概要のご紹介 [2020年8月版]
【旧版】Oracle Autonomous Database:サービス概要のご紹介 [2020年8月版]【旧版】Oracle Autonomous Database:サービス概要のご紹介 [2020年8月版]
【旧版】Oracle Autonomous Database:サービス概要のご紹介 [2020年8月版]
 
Solutions for bi-directional integration between Oracle RDBMS & Apache Kafka
Solutions for bi-directional integration between Oracle RDBMS & Apache KafkaSolutions for bi-directional integration between Oracle RDBMS & Apache Kafka
Solutions for bi-directional integration between Oracle RDBMS & Apache Kafka
 
Aneez Hasan_Resume
Aneez Hasan_ResumeAneez Hasan_Resume
Aneez Hasan_Resume
 
Engineering practices in big data storage and processing
Engineering practices in big data storage and processingEngineering practices in big data storage and processing
Engineering practices in big data storage and processing
 
What is Trove, the Database as a Service on OpenStack?
What is Trove, the Database as a Service on OpenStack?What is Trove, the Database as a Service on OpenStack?
What is Trove, the Database as a Service on OpenStack?
 
OpenStack Online Meetup
OpenStack Online MeetupOpenStack Online Meetup
OpenStack Online Meetup
 
Avi Jain - Resume Descriptive 2015
Avi Jain - Resume Descriptive 2015Avi Jain - Resume Descriptive 2015
Avi Jain - Resume Descriptive 2015
 
Avi Jain - Resume Descriptive 2015
Avi Jain - Resume Descriptive 2015Avi Jain - Resume Descriptive 2015
Avi Jain - Resume Descriptive 2015
 
Brk2051 sql server on linux and docker
Brk2051 sql server on linux and dockerBrk2051 sql server on linux and docker
Brk2051 sql server on linux and docker
 

More from Rakuten Group, Inc.

コードレビュー改善のためにJenkinsとIntelliJ IDEAのプラグインを自作してみた話
コードレビュー改善のためにJenkinsとIntelliJ IDEAのプラグインを自作してみた話コードレビュー改善のためにJenkinsとIntelliJ IDEAのプラグインを自作してみた話
コードレビュー改善のためにJenkinsとIntelliJ IDEAのプラグインを自作してみた話Rakuten Group, Inc.
 
楽天における安全な秘匿情報管理への道のり
楽天における安全な秘匿情報管理への道のり楽天における安全な秘匿情報管理への道のり
楽天における安全な秘匿情報管理への道のりRakuten Group, Inc.
 
Simple and Effective Knowledge-Driven Query Expansion for QA-Based Product At...
Simple and Effective Knowledge-Driven Query Expansion for QA-Based Product At...Simple and Effective Knowledge-Driven Query Expansion for QA-Based Product At...
Simple and Effective Knowledge-Driven Query Expansion for QA-Based Product At...Rakuten Group, Inc.
 
DataSkillCultureを浸透させる楽天の取り組み
DataSkillCultureを浸透させる楽天の取り組みDataSkillCultureを浸透させる楽天の取り組み
DataSkillCultureを浸透させる楽天の取り組みRakuten Group, Inc.
 
大規模なリアルタイム監視の導入と展開
大規模なリアルタイム監視の導入と展開大規模なリアルタイム監視の導入と展開
大規模なリアルタイム監視の導入と展開Rakuten Group, Inc.
 
楽天における大規模データベースの運用
楽天における大規模データベースの運用楽天における大規模データベースの運用
楽天における大規模データベースの運用Rakuten Group, Inc.
 
Supporting Internal Customers as Technical Account Managers.pdf
Supporting Internal Customers as Technical Account Managers.pdfSupporting Internal Customers as Technical Account Managers.pdf
Supporting Internal Customers as Technical Account Managers.pdfRakuten Group, Inc.
 
Making Cloud Native CI_CD Services.pdf
Making Cloud Native CI_CD Services.pdfMaking Cloud Native CI_CD Services.pdf
Making Cloud Native CI_CD Services.pdfRakuten Group, Inc.
 
Travel & Leisure Platform Department's tech info
Travel & Leisure Platform Department's tech infoTravel & Leisure Platform Department's tech info
Travel & Leisure Platform Department's tech infoRakuten Group, Inc.
 
Introduction of GORA API Group technology
Introduction of GORA API Group technologyIntroduction of GORA API Group technology
Introduction of GORA API Group technologyRakuten Group, Inc.
 
100PBを越えるデータプラットフォームの実情
100PBを越えるデータプラットフォームの実情100PBを越えるデータプラットフォームの実情
100PBを越えるデータプラットフォームの実情Rakuten Group, Inc.
 
社内エンジニアを支えるテクニカルアカウントマネージャー
社内エンジニアを支えるテクニカルアカウントマネージャー社内エンジニアを支えるテクニカルアカウントマネージャー
社内エンジニアを支えるテクニカルアカウントマネージャーRakuten Group, Inc.
 
Unclouding Container Challenges
 Unclouding  Container Challenges Unclouding  Container Challenges
Unclouding Container ChallengesRakuten Group, Inc.
 
Functional Programming in Pattern-Match-Oriented Programming Style <Programmi...
Functional Programming in Pattern-Match-Oriented Programming Style <Programmi...Functional Programming in Pattern-Match-Oriented Programming Style <Programmi...
Functional Programming in Pattern-Match-Oriented Programming Style <Programmi...Rakuten Group, Inc.
 
アジャイル開発とメトリクス
アジャイル開発とメトリクスアジャイル開発とメトリクス
アジャイル開発とメトリクスRakuten Group, Inc.
 
Improve test automation operation
Improve test automation operationImprove test automation operation
Improve test automation operationRakuten Group, Inc.
 

More from Rakuten Group, Inc. (19)

コードレビュー改善のためにJenkinsとIntelliJ IDEAのプラグインを自作してみた話
コードレビュー改善のためにJenkinsとIntelliJ IDEAのプラグインを自作してみた話コードレビュー改善のためにJenkinsとIntelliJ IDEAのプラグインを自作してみた話
コードレビュー改善のためにJenkinsとIntelliJ IDEAのプラグインを自作してみた話
 
楽天における安全な秘匿情報管理への道のり
楽天における安全な秘匿情報管理への道のり楽天における安全な秘匿情報管理への道のり
楽天における安全な秘匿情報管理への道のり
 
What Makes Software Green?
What Makes Software Green?What Makes Software Green?
What Makes Software Green?
 
Simple and Effective Knowledge-Driven Query Expansion for QA-Based Product At...
Simple and Effective Knowledge-Driven Query Expansion for QA-Based Product At...Simple and Effective Knowledge-Driven Query Expansion for QA-Based Product At...
Simple and Effective Knowledge-Driven Query Expansion for QA-Based Product At...
 
DataSkillCultureを浸透させる楽天の取り組み
DataSkillCultureを浸透させる楽天の取り組みDataSkillCultureを浸透させる楽天の取り組み
DataSkillCultureを浸透させる楽天の取り組み
 
大規模なリアルタイム監視の導入と展開
大規模なリアルタイム監視の導入と展開大規模なリアルタイム監視の導入と展開
大規模なリアルタイム監視の導入と展開
 
楽天における大規模データベースの運用
楽天における大規模データベースの運用楽天における大規模データベースの運用
楽天における大規模データベースの運用
 
Supporting Internal Customers as Technical Account Managers.pdf
Supporting Internal Customers as Technical Account Managers.pdfSupporting Internal Customers as Technical Account Managers.pdf
Supporting Internal Customers as Technical Account Managers.pdf
 
Making Cloud Native CI_CD Services.pdf
Making Cloud Native CI_CD Services.pdfMaking Cloud Native CI_CD Services.pdf
Making Cloud Native CI_CD Services.pdf
 
Travel & Leisure Platform Department's tech info
Travel & Leisure Platform Department's tech infoTravel & Leisure Platform Department's tech info
Travel & Leisure Platform Department's tech info
 
OWASPTop10_Introduction
OWASPTop10_IntroductionOWASPTop10_Introduction
OWASPTop10_Introduction
 
Introduction of GORA API Group technology
Introduction of GORA API Group technologyIntroduction of GORA API Group technology
Introduction of GORA API Group technology
 
100PBを越えるデータプラットフォームの実情
100PBを越えるデータプラットフォームの実情100PBを越えるデータプラットフォームの実情
100PBを越えるデータプラットフォームの実情
 
社内エンジニアを支えるテクニカルアカウントマネージャー
社内エンジニアを支えるテクニカルアカウントマネージャー社内エンジニアを支えるテクニカルアカウントマネージャー
社内エンジニアを支えるテクニカルアカウントマネージャー
 
Unclouding Container Challenges
 Unclouding  Container Challenges Unclouding  Container Challenges
Unclouding Container Challenges
 
Functional Programming in Pattern-Match-Oriented Programming Style <Programmi...
Functional Programming in Pattern-Match-Oriented Programming Style <Programmi...Functional Programming in Pattern-Match-Oriented Programming Style <Programmi...
Functional Programming in Pattern-Match-Oriented Programming Style <Programmi...
 
アジャイル開発とメトリクス
アジャイル開発とメトリクスアジャイル開発とメトリクス
アジャイル開発とメトリクス
 
AR/SLAM and IoT
AR/SLAM and IoTAR/SLAM and IoT
AR/SLAM and IoT
 
Improve test automation operation
Improve test automation operationImprove test automation operation
Improve test automation operation
 

Recently uploaded

Vertex AI Gemini Prompt Engineering Tips
Vertex AI Gemini Prompt Engineering TipsVertex AI Gemini Prompt Engineering Tips
Vertex AI Gemini Prompt Engineering TipsMiki Katsuragi
 
SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024Lorenzo Miniero
 
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 3652toLead Limited
 
Artificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptxArtificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptxhariprasad279825
 
Dev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebDev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebUiPathCommunity
 
Commit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easyCommit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easyAlfredo García Lavilla
 
APIForce Zurich 5 April Automation LPDG
APIForce Zurich 5 April  Automation LPDGAPIForce Zurich 5 April  Automation LPDG
APIForce Zurich 5 April Automation LPDGMarianaLemus7
 
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek SchlawackFwdays
 
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmaticsKotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmaticscarlostorres15106
 
Streamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project SetupStreamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project SetupFlorian Wilhelm
 
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks..."LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...Fwdays
 
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...Patryk Bandurski
 
Beyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry InnovationBeyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry InnovationSafe Software
 
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...shyamraj55
 
Connect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck PresentationConnect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck PresentationSlibray Presentation
 
SQL Database Design For Developers at php[tek] 2024
SQL Database Design For Developers at php[tek] 2024SQL Database Design For Developers at php[tek] 2024
SQL Database Design For Developers at php[tek] 2024Scott Keck-Warren
 
WordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your BrandWordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your Brandgvaughan
 
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024BookNet Canada
 
"Federated learning: out of reach no matter how close",Oleksandr Lapshyn
"Federated learning: out of reach no matter how close",Oleksandr Lapshyn"Federated learning: out of reach no matter how close",Oleksandr Lapshyn
"Federated learning: out of reach no matter how close",Oleksandr LapshynFwdays
 
My INSURER PTE LTD - Insurtech Innovation Award 2024
My INSURER PTE LTD - Insurtech Innovation Award 2024My INSURER PTE LTD - Insurtech Innovation Award 2024
My INSURER PTE LTD - Insurtech Innovation Award 2024The Digital Insurer
 

Recently uploaded (20)

Vertex AI Gemini Prompt Engineering Tips
Vertex AI Gemini Prompt Engineering TipsVertex AI Gemini Prompt Engineering Tips
Vertex AI Gemini Prompt Engineering Tips
 
SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024
 
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
 
Artificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptxArtificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptx
 
Dev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebDev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio Web
 
Commit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easyCommit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easy
 
APIForce Zurich 5 April Automation LPDG
APIForce Zurich 5 April  Automation LPDGAPIForce Zurich 5 April  Automation LPDG
APIForce Zurich 5 April Automation LPDG
 
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
 
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmaticsKotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
 
Streamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project SetupStreamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project Setup
 
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks..."LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
 
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
 
Beyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry InnovationBeyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
 
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
 
Connect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck PresentationConnect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck Presentation
 
SQL Database Design For Developers at php[tek] 2024
SQL Database Design For Developers at php[tek] 2024SQL Database Design For Developers at php[tek] 2024
SQL Database Design For Developers at php[tek] 2024
 
WordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your BrandWordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your Brand
 
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
 
"Federated learning: out of reach no matter how close",Oleksandr Lapshyn
"Federated learning: out of reach no matter how close",Oleksandr Lapshyn"Federated learning: out of reach no matter how close",Oleksandr Lapshyn
"Federated learning: out of reach no matter how close",Oleksandr Lapshyn
 
My INSURER PTE LTD - Insurtech Innovation Award 2024
My INSURER PTE LTD - Insurtech Innovation Award 2024My INSURER PTE LTD - Insurtech Innovation Award 2024
My INSURER PTE LTD - Insurtech Innovation Award 2024
 

Travel & Leisure Platform Department's tech info

  • 1. Travel & Leisure Platform Dept.
  • 2. 2 RBN Rakuten Private Cloud Public Cloud Hardware Provisioning / Management layer Network Overlay Storage Hadoop Bare metal IaaS Self Service Portal/APIs Self Service Portal/APIs OS layer (Kernel tuning) Data backup & Recovery Platform management (Exadata, Teradata, Proxy …etc) Service A Service B Service C Service X DB schema review, SQL tuning support VM Container Log Storage, Monitoring & Alerting Web / AP server provisioning Database provisioning (RDBMS/NoSQL) Toil abolishment & Automation Travel & Leisure Platform Dept(TLPD)
  • 3. 3 RBN Rakuten Private Cloud Public Cloud Hardware Provisioning / Management layer Network Overlay Storage Hadoop Bare metal IaaS Self Service Portal/APIs Self Service Portal/APIs OS layer (Kernel tuning) Data backup & Recovery Platform management (Exadata, Teradata, Proxy …etc) Service A Service B Service C Service X DB schema review, SQL tuning support VM Container Log Storage, Monitoring & Alerting Web / AP server provisioning Database provisioning (RDBMS/NoSQL) Toil abolishment & Automation DBA DevOps Travel & Leisure Platform Dept(TLPD)
  • 4. 4 Recent Project Business Continuity Plan (BCP) • Multi DC, Multi Cloud Container-nization • VM -> K8S Alert integration • Manage all alerts by 1 platform Automation • Server management, regular work Life Cycle Management (LCM) • NAS replace, Oracle DB version upgrade
  • 5. 5 What is Benefit ✓ 機械工学出身だがメーカーと比べると働き方が自由 (フレックスやリモートワークなど) ✓ 部署では色々な技術が使えるのが楽しい。(選定もできる のが楽しい) ✓ Most of the people want to improve skill / learning. ✓ Trying to very hard push forward. ✓ Not much restriction. ✓ Free Breakfast, Lunch, Dinner !! 21' New grads 20' Joined mid-career
  • 7. 7 ✓ RDB ✓ NoSQL ✓ KVS ✓ HDFS Cloud (Public / Private) Bare Metal / Appliance To provide best data platform and management as advanced DBA for Travel & Leisure services BCP
  • 8. 8 Data Management Group ◆ Long term resource management. ◆ Scale out/up based on load prediction. ◆ Monitoring and Troubleshooting. ◆ Performance tuning. ◆ Version upgrade / Migration. ◆ Backup & Recovery ◆ Provide guidelines for using each DB products. ◆ Making Contingency Plan (BCP). ◆ Verification and evaluation of new architecture. Role Responsibility ✓ RDB (Oracle, Exadata, GoldenGate, Timesten, MySQL, ZFS, ) ✓ NoSQL (MongoDB, Elasticsearch, Redis)
  • 10. 10 What we do – 1. Infrastructure as Code Infra Management Config Management Continuous Integration Terraform Jenkins Chef & Ansible
  • 11. 11 What we do – 2. Provide platform to Dev and QA System Monitoring Log Analysis Support Tool
  • 12. 12 Platform Reliability Group Role Responsibility ✓Infrastructure management ✓Platform / Tool / Environment management ◆Long term resource management. ◆Scale out/up based on load prediction. ◆Troubleshooting. ◆Infrastructure consultation. ◆Monitoring / Proxy / Log analysis. ◆Tool management for Developer & QA ◆Provide Server resource. ◆System Log management. ◆Verification and evaluation of new architecture.
  • 13. 13 Person we would like to work with ❖ Always motivated to improve existing process. ❖ Actively communicate with colleagues. ❖ Positive attitude for work. ❖ Quick and positive learner.
  • 14. Nationality of the engineers : Around 8 countries Average age : Around 30 years old